Predicted Near Future Climate Change Impacts on the HGL of the ACT 2017 (2nd Ed)

This dataset supersedes all earlier versions of 'Predicted Near Future Climate Change Impacts on the HGL of the ACT'. It incorporates HGL boundary and management area edits based on updated soil landscape mapping for the ACT.

The focus of this dataset is climate change impacts in the Australian Capital Territory. It contains digital spatial data developed to assist in land management decision making in the ACT. The dataset contains an assessment of climate change impacts on 14 variables defined by the NARCliM (NSW/ACT Regional Climate Modelling) project for three selected regional climate projection ensembles (multimodel mean, CCCMA3.1-R2, ECHAM5-R3). Only near-future (1990-2009 to 2020-2039) projections were considered. Each variable was considered using annual and seasonal time periods. Field names in the dataset follow the following format:

Field name = MODEL_NARCliM VARIABLE_TIME PERIOD

Values for each element of the field name are summarised as follows:

MODEL (Near future - 1990-2009 to 2020-2039)
C – Consensus (NARCliM Multimodel Consensus Scenario)
W – Wetter (NARCliM CCCMA3.1-R2 Wetter Scenario)
D – Drier (NARCliM ECHAM5-R3 Drier Scenario)

NARCliM VARIABLE
FFDI – Forest fire danger index
FF50 – Forest fire danger index above 50
FFBC – Forest fire danger index bias corrected
FFBC50 – Forest fire danger index bias corrected above 50
PRAC – Precipitation
PRACBC – Precipitation bias corrected
TAME – Temp mean
TAMX – Temp max
TAMN – Temp min
TAMXBC – Temp max bias corrected
TAMNBC – Temp min bias corrected
TAMX35 – Temp max bias corrected over 35
TAMN2 – Temp min bias corrected below 2
WSSM – Wind speed

TIME PERIOD
A – Annual
D – DJF
M – MAM
J – JJA
S – SON

Hydrogeological landscape (HGL) unit boundaries developed as part of the broader ACT Hydrogeological Landscapes (HGL) Framework project where used to constrain the outputs for this climate change assessment in the ACT. In all, there are 25 HGL defined. A weighted mean was used to calculate values for each HGL unit based on the proportions of corresponding 10km gridded data from the NARCliM data set.

Spatial resolution for this dataset is 1:50 000.